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《Acta Photonica Sinica》 2002-12
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SMALL TARGET DETECTION BASED ON MAXIMUM BACKGROUND MODEL IN IR IMAGES

Xu Jun 1 , Xiang Jianhua 1 ,Liang Changhong 2 1 School of Techniques Physics, Xidian University, Xi'an 710071 China 2 School of Electronics Engineering, Xidian University, Xi'an 710071 China  
For the small targets detection in IR images, A method of background prediction call maximum background model (MBM) is introduced. The MBM also called "Local Maximum Background Model", which improve the performance of small targets detection by reducing the influence of background gurgitation. This model is applicable to the image, in which the background includes strong contrast cloud, man made jams such as a building and ground scenes, and it can also restrain strong noise.This model is a significant development to the background prediction algorithm.Also, evolution with some real IR images proved the validity of the algorithm in this paper.
【Fund】: 国家自然基金资助项目 (60 0 0 70 0 7)
【CateGory Index】: TN219
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